Environmental Engineering - AI Data Trainer
Environmental Engineering – AI Data Trainer About The Role We're partnering with the world's leading AI research labs to make AI smarter — and we need environmental engineers to help get there. As an AI Data Trainer specializing in environmental engineering, you'll stress-test advanced AI models on complex technical problems, expose their reasoning gaps, and help build systems that can think like a domain expert. This is a fully remote, flexible contract role that lets you apply your deep technical knowledge in a new and impactful way — without leaving your field. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week
What You'll Do
Design Challenging Problems — Develop advanced environmental engineering scenarios spanning contaminant transport, mass balance in treatment plants, hydrology, pollutant dispersion, and Life Cycle Assessments (LCA) Author Expert-Level Solutions — Write rigorous, step-by-step technical solutions — including chemical dosage calculations, hydraulic flow models, and remediation plans — that serve as ground-truth benchmarks for AI training Audit AI Outputs — Evaluate AI-generated environmental impact statements, remediation strategies, and engineering calculations for technical accuracy, safety, and regulatory compliance (EPA, ISO 14001, and more) Sharpen AI Reasoning — Identify logical errors such as incorrect stoichiometry, flawed unit conversions, or failure to account for secondary environmental impacts, and provide structured feedback to improve model performance Work Independently — Complete task-based assignments asynchronously on a schedule that works for you Who You Are Holds or is pursuing a Master's or PhD in Environmental Engineering, Civil Engineering (environmental focus), or a closely related discipline Strong foundational knowledge in one or more core areas: aquatic chemistry, wastewater process design, air quality engineering, hazardous waste remediation, or environmental compliance Precise and detail-oriented — you catch unit conversion errors, chemical equation imbalances, and regulatory inconsistencies that others miss Able to communicate complex engineering concepts clearly and concisely in writing Self-motivated and comfortable working independently on technical tasks No prior AI experience required
Nice to Have
Experience with data annotation, data quality, or technical evaluation workflows Familiarity with environmental modeling software (e.g., AERMOD, SWMM, MODFLOW) Background in EHS compliance, regulatory consulting, or environmental auditing
Why Join Us
Work on cutting-edge AI projects alongside top AI research labs and teams Fully remote and flexible — set your own hours and work from anywhere Freelance perks: autonomy, variety, and the chance to collaborate with a global network of experts Gain firsthand exposure to how large language models (LLMs) are trained and evaluated Make a meaningful impact — your expertise directly improves how AI handles real-world environmental engineering challenges Potential for ongoing work and contract extension